We evaluate the results of our method on the aspects of image diversity and feature accuracy.
For the first aspect, we use the LPIPS[1]} metric to compare the image diversity of the images generated with our method and the images generated from the StyleGAN[2]} model.
In practice, 1000 images are generated and sampled from each semantic class.
For the output of StyleGAN[2]} model, we also use the pre-trained DEX[4]} classifier to recognise the age and gender of the generated images until 1000 images are collected for each class.
